message("\n---- Test compute spectral indices - main function ----") testthat::skip_on_cran() # testthat::skip_on_ci() # TODO try to remove skip_full_tests() # Required SAFE s2_l2a_list <- c( "S2B_MSIL2A_20200801T100559_N0214_R022_T32TNR_20200801T135302.SAFE", "S2B_MSIL2A_20200801T100559_N0214_R022_T32TNS_20200801T135302.SAFE" ) testthat::test_that( "Tests on indices computation, on unrequired BOA, with clip ", { # Check sample inputs testthat::skip_if_not(file.exists(file.path( safe_dir, s2_l2a_list[1], "GRANULE/L2A_T32TNR_A017780_20200801T101400/IMG_DATA/R10m", "T32TNR_20200801T100559_B08_10m.jp2" ))) testthat::skip_if_not(file.exists(file.path( safe_dir, s2_l2a_list[2], "GRANULE/L2A_T32TNS_A017780_20200801T101400/IMG_DATA/R10m", "T32TNS_20200801T100559_B08_10m.jp2" ))) outdir_11 <- tempfile(pattern = "out_test11_") dir.create(dirname(outdir_11), showWarnings = FALSE) exp_outpath_11 <- file.path( outdir_11, c("NDVI","MSAVI2"), c("S2B2A_20200801_022_Scalve_NDVI_10.tif","S2B2A_20200801_022_Scalve_MSAVI2_10.tif") ) unlink(exp_outpath_11) sen2r( gui = FALSE, online = FALSE, step_atmcorr = "l2a", # to avoid checks on Sen2Cor extent = system.file("extdata/vector/scalve.kml", package = "sen2r"), extent_name = "Scalve", extent_as_mask = TRUE, timewindow = as.Date("2020-08-01"), list_indices = c("NDVI","MSAVI2"), mask_type = NA, path_out = outdir_11, path_l2a = safe_dir, parallel = FALSE ) testthat::expect_true(all(file.exists(exp_outpath_11))) # test on raster metadata exp_meta_r <- raster_metadata(exp_outpath_11) # default format: data.table testthat::expect_equal( exp_meta_r[,c("size.x", "size.y")], data.table("size.x"=rep(1911,2), "size.y"=rep(1479)) ) testthat::expect_equal( exp_meta_r[,c("res.x", "res.y")], data.table("res.x"=rep(10,2), "res.y"=rep(10,2)) ) testthat::expect_equal(exp_meta_r$nbands, c(1,1)) testthat::expect_equal( exp_meta_r[1,c("xmin", "xmax", "ymin", "ymax")], data.table("xmin" = 578590, "xmax" = 597700, "ymin" = 5086740, "ymax" = 5101530) ) expect_equal_crs(st_crs2(exp_meta_r$proj[2]), 32632) testthat::expect_equal(exp_meta_r$type, rep("Int16",2)) testthat::expect_equal(exp_meta_r$outformat, rep("GTiff",2)) # default value # tests on sen2r metadata exp_meta_s <- sen2r_getElements(exp_outpath_11) testthat::expect_equal(exp_meta_s$type, rep("clipped",2)) testthat::expect_equal(exp_meta_s$sensing_date, rep(as.Date("2020-08-01"),2)) testthat::expect_equal(exp_meta_s$prod_type, c("NDVI", "MSAVI2")) testthat::expect_equal(exp_meta_s$extent_name, rep("Scalve",2)) # test on raster values exp_stars <- stars::read_stars(exp_outpath_11) testthat::expect_true(round(mean(exp_stars[[1]], na.rm=TRUE)) %in% c(7348, 7383)) testthat::expect_true(round(mean(exp_stars[[2]], na.rm=TRUE)) %in% c(4906, 4920)) testthat::expect_equal(sum(is.na(exp_stars[[1]])), 0) testthat::expect_equal(sum(is.na(exp_stars[[2]])), 0) rm(exp_stars) # test thumbnails exp_outpath_t_11 <- file.path( dirname(exp_outpath_11), "thumbnails", gsub("tif$", "jpg", basename(exp_outpath_11)) ) expect_true(all(file.exists( exp_outpath_t_11, paste0(exp_outpath_t_11, ".aux.xml") ))) exp_meta_r_t <- raster_metadata(exp_outpath_t_11) # default format: data.table testthat::expect_equal( exp_meta_r_t[,c("size.x", "size.y")], exp_meta_r[,c("size.x", "size.y")] * 1024 / exp_meta_r$size.x, tolerance = 1e-3 ) testthat::expect_equal( exp_meta_r_t[,c("res.x", "res.y")], exp_meta_r[,c("res.x", "res.y")] / 1024 * exp_meta_r$size.x, # dim. > 1024: resize to 1024 tolerance = 1e-3 ) testthat::expect_equal(exp_meta_r_t$nbands, c(3,3)) testthat::expect_equal( exp_meta_r_t[,c("xmin", "xmax", "ymin", "ymax")], exp_meta_r[,c("xmin", "xmax", "ymin", "ymax")] ) lapply(seq_len(nrow(exp_meta_r_t)), function(i) { expect_equal_crs(st_crs2(exp_meta_r_t$proj[i]), st_crs2(exp_meta_r$proj[i])) }) testthat::expect_equal(exp_meta_r_t$type, rep("Byte",2)) testthat::expect_equal(exp_meta_r_t$outformat, rep("JPEG",2)) } )